Atlas

Nanonets Atlas: The Unified Context Layer for Every AI Tool in Your Company

In the modern workplace, teams rely on various AI agents to increase productivity. However, a significant challenge remains: every AI tool you use starts from zero. Whether you are using Claude, Cursor, or ChatGPT, you often find yourself re-explaining how your company actually works. This repetitive process leads to generic outputs, off-brand materials, and confusion regarding internal data models. Nanonets Atlas is designed to solve this problem by becoming the permanent context layer for your organization.

What's Nanonets Atlas?

Nanonets Atlas is a centralized intelligence backend that allows your AI tools to understand your company's specific processes, data structures, and brand identity. Instead of writing the world's longest system prompts or building complex RAG pipelines from scratch, Nanonets Atlas allows you to set up your company rules once and pick them up from anywhere.

Developed by Nanonets—a leader in document-understanding infrastructure with over six years of experience—Nanonets Atlas leverages enterprise-grade extraction technology to transform your messy documents into structured context. It acts as the bridge between your internal knowledge (stored in Slack, Notion, or internal documents) and the AI agents your team uses every day.

Features of Nanonets Atlas

Nanonets Atlas is built on three essential layers of company context that ensure your AI tools are never guessing how to perform a task.

1. Process Context

One of the most powerful features of Nanonets Atlas is its ability to provide process context. It answers the question, "How do we do X here?" based on your actual internal workflows rather than generic internet data. Nanonets Atlas auto-extracts these rules from your existing documentation.

• Real-world application: When an employee asks how to get production database access, Nanonets Atlas provides the real onboarding flow used by your company, not a generic answer from Stack Overflow.

2. Data Context

Nanonets Atlas understands where your data lives, what it means, and how it is structured. It maps out your data schema and metrics definitions so that your AI tools can navigate your stack without needing constant guidance.

• Real-world application: If you ask an AI to "pull the churn rate for last quarter," Nanonets Atlas ensures the tool knows exactly which schema to look at and which metrics definition to apply.

3. Brand Context

Consistency is key to professional output. Nanonets Atlas stores your brand context, including fonts, colors, and visual identity. This ensures that every slide deck or document generated by an AI is on-brand the first time.

• Real-world application: Asking for a "Q4 launch deck" will result in a presentation that aligns with your company's design principles, avoiding the "AI slop" look that characterizes generic outputs.

Privacy by Design

Nanonets Atlas is built with a dual-layer privacy model to ensure that sensitive information is handled correctly:

• Personal Context: Rules and context you add to your own account stay with you. They are not shared with teammates or admins.
• Company Context: This is a shared layer curated by admins, ensuring the whole team works from the same standardized company rules.
• Security: The platform is SOC 2 Type II certified, reflecting the high security standards Nanonets maintains for its 10,000+ enterprise clients.

How to Use Nanonets Atlas

Setting up Nanonets Atlas is a streamlined process designed to get your team back to work in minutes. The workflow follows three simple steps:

1. Connect Your Sources: Point Nanonets Atlas at your existing materials. You can drop in your website URL, employee handbooks, brand guides, or connect your Notion workspace. This initial setup takes as little as 60 seconds.
2. Extract Context: Using Nanonets-grade document extraction, the system automatically structures your process, data, and brand context. All extracted information is reviewable on a single, easy-to-navigate page.
3. Plug into AI Tools: Once the context is extracted, you can plug it into any AI tool. Use a single MCP URL for Claude, Cursor, ChatGPT, or Claude Code. For custom-built agents, Nanonets Atlas provides a REST endpoint.

One of the biggest advantages is that your rules stay in plain markdown. You can export them at any time and take them to any agent, ensuring there is no vendor lock-in.

Use Cases

Nanonets Atlas is specifically built for companies in the 10-to-50 employee stage where efficiency is critical. Here are a few ways teams utilize the platform:

• Seamless Onboarding: New hires can use AI agents to navigate internal company policies and technical setups without shadowing senior engineers.
• Data Analysis: Analysts can use ChatGPT or Claude to query complex company metrics because Nanonets Atlas provides the necessary schema context.
• Content Creation: Marketing teams can generate on-brand collateral and presentations that strictly adhere to the company's visual identity.
• Engineering Efficiency: Developers using Cursor or Claude Code can work within the specific data models and coding standards of their organization.

FAQ

How much does Nanonets Atlas cost? Currently, Nanonets Atlas is offering early access for $99/mo per company. This offer is limited to the first 200 companies.

Does Nanonets Atlas support export? Yes. You can export your context to markdown at any time. Your data and rules remain yours, and you can point any agent at them.

What tools does Nanonets Atlas work with? It works with Claude, Cursor, ChatGPT, Claude Code, and any custom agent you build via a REST endpoint.

Is there a setup fee? No, and the early access plan includes white-glove setup to ensure your company context is optimized correctly.

Is my data secure? Yes. Nanonets is SOC 2 Type II certified and has years of experience handling document infrastructure for global enterprises like P&G and Bayer.

By implementing Nanonets Atlas, companies can finally stop re-explaining the basics and start leveraging the full power of AI with total context and zero friction.